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Applications of Electric Vehicles in Instant Deliveries

Author

Listed:
  • Ana Bricia Galindo-Muro

    (Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Mexico City 14380, Mexico)

  • Riccardo Cespi

    (Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Monterrey 64849, Mexico)

  • Stephany Isabel Vallarta-Serrano

    (Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Mexico City 14380, Mexico)

Abstract

Big cities affected by intense mobility, traffic and pollution are adopting electrification-based solutions for the reduction of the CO 2 emissions of combustion engines. An interesting field in which the transition toward electrification can achieve important benefits is the area of instant deliveries. Instant deliveries deal with the mobility related to commercial trades between suppliers and customers. In this respect, optimal solutions can be considered during route planning based on the minimization of several metrics, such as distance, energy and road slope, among others. To this end, this paper presents an optimal solution to the instant deliveries problem in which the result is the optimal route, in the city under study, that minimizes energy consumption based on road slope and total distance traveled, and that gives higher priority to routes that include cycling infrastructure that the city can provide. The paper uses electric bikes since they are easily transportable and are highly versatile for instant deliveries. The results obtained were compared to a previous version of the optimal algorithm already published by the authors which minimizes the Haversine and Euclidian distances only. It was found that the shortest distance travelled between customers does not necessarily imply the least energy consumption. The latter, in combination with an energy consumption estimation approach, represent the original contribution of the work.

Suggested Citation

  • Ana Bricia Galindo-Muro & Riccardo Cespi & Stephany Isabel Vallarta-Serrano, 2023. "Applications of Electric Vehicles in Instant Deliveries," Energies, MDPI, vol. 16(4), pages 1-18, February.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1967-:d:1070516
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    References listed on IDEAS

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    1. Ahmad Alharbi & Chantal Cantarelli & Andrew Brint, 2022. "Crowd Models for Last Mile Delivery in an Emerging Economy," Sustainability, MDPI, vol. 14(3), pages 1-20, January.
    2. Guy Desaulniers & Fausto Errico & Stefan Irnich & Michael Schneider, 2016. "Exact Algorithms for Electric Vehicle-Routing Problems with Time Windows," Operations Research, INFORMS, vol. 64(6), pages 1388-1405, December.
    3. Michael Schneider & Andreas Stenger & Dominik Goeke, 2014. "The Electric Vehicle-Routing Problem with Time Windows and Recharging Stations," Transportation Science, INFORMS, vol. 48(4), pages 500-520, November.
    4. Jie, Wanchen & Yang, Jun & Zhang, Min & Huang, Yongxi, 2019. "The two-echelon capacitated electric vehicle routing problem with battery swapping stations: Formulation and efficient methodology," European Journal of Operational Research, Elsevier, vol. 272(3), pages 879-904.
    5. Schneider, M. & Stenger, A. & Goeke, D., 2014. "The Electric Vehicle Routing Problem with Time Windows and Recharging Stations," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 62382, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Riccardo Cespi & Renato Galluzzi & Ricardo A. Ramirez-Mendoza & Stefano Di Gennaro, 2021. "Artificial Intelligence for Stability Control of Actuated In–Wheel Electric Vehicles with CarSim ® Validation," Mathematics, MDPI, vol. 9(23), pages 1-27, December.
    7. Pourrahmani, Elham & Jaller, Miguel, 2021. "Crowdshipping in last mile deliveries: Operational challenges and research opportunities," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    8. Kamile Petrauskiene & Jolanta Dvarioniene & Giedrius Kaveckis & Daina Kliaugaite & Julie Chenadec & Leonie Hehn & Berta Pérez & Claudio Bordi & Giorgio Scavino & Andrea Vignoli & Michael Erman, 2020. "Situation Analysis of Policies for Electric Mobility Development: Experience from Five European Regions," Sustainability, MDPI, vol. 12(7), pages 1-21, April.
    9. Ioannis Chatziioannou & Luis Alvarez-Icaza & Efthimios Bakogiannis & Charalampos Kyriakidis & Luis Chias-Becerril, 2020. "A Structural Analysis for the Categorization of the Negative Externalities of Transport and the Hierarchical Organization of Sustainable Mobility’s Strategies," Sustainability, MDPI, vol. 12(15), pages 1-27, July.
    10. Zhang, Shuai & Gajpal, Yuvraj & Appadoo, S.S. & Abdulkader, M.M.S., 2018. "Electric vehicle routing problem with recharging stations for minimizing energy consumption," International Journal of Production Economics, Elsevier, vol. 203(C), pages 404-413.
    11. Montoya, Alejandro & Guéret, Christelle & Mendoza, Jorge E. & Villegas, Juan G., 2017. "The electric vehicle routing problem with nonlinear charging function," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 87-110.
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    Cited by:

    1. Stephany Isabel Vallarta-Serrano & Ana Bricia Galindo-Muro & Riccardo Cespi & Rogelio Bustamante-Bello, 2023. "Analysis of GHG Emission from Cargo Vehicles in Megacities: The Case of the Metropolitan Zone of the Valley of Mexico," Energies, MDPI, vol. 16(13), pages 1-19, June.

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